Eliminate Data Errors and Solve the Bad Data Problem

Data is constantly growing, and your organization’s data is no exception. But as data gets bigger, it becomes more complex and difficult to manage.

Practices that used to be sufficient in the past, like depending on a front-end query and reporting tool alone, may no longer be enough. While you can continue report on your data as it grows, one crucial component might be missing: data quality.

As data grows more complex, the risk of developing data errors grows, too.

Bad data may find its way into your reporting and lead your organization down the path of poor decision-making. Even if bad data is detected before it impacts reporting, it still leads to time (needlessly) wasted correcting it—especially when the data should have been accurate to begin with.

Without a data warehousing solution, it can also be challenging to navigate multiple databases and understand them well enough to access and accurately interpret data.

Plus, without a data warehouse controlling your data, it can be difficult to strike a balance between giving users the data they need and keeping data secure.

Calculating the True Cost of Bad Data

“We have to look at return on investment in everything we do. If we were using a toolset that required three programmers to do what one business user can do with Sequel Data Warehouse, then that return would no longer be there.”

Eddie Urfer

Director of Data Analytics

Fortegra

Why Banks are Turning to Data Warehousing for Insight

Many industries can benefit from implementing data warehousing. In banking, data warehouses provide ways to gain insight into customer trends and historical data.

Data Warehouse Solutions Make Data Management Easy

With a data warehousing solution on IBM i, you can successfully meet the challenges of your organization’s growing data.

Manage Data and Deliver Top-Notch Analytics

Don't spend your time manually managing data.

Let a data warehousing solution take care of data management so you can focus on analytics. You'll get accurate data for analysis while the data warehouse takes care of the hard part—consolidating and summarizing data quickly.

Plus, your data warehouse validates data against multiple databases to ensure that you’re understanding one clear version of the truth. You'll be able to say goodbye to data errors—and hello to data insight.

Interpret Complex Data from Any Database

Complex data from assorted databases is often difficult for an everyday user to understand.

As your business grows, you'll likely add more databases—from Microsoft SQL Server to Hadoop. However, a data warehousing solution takes complex data from any database and translates it for these users. As a result, it’s easy for those who lack technical expertise to take understandable data and turn it into usable information.

Focus on Big Data Scalability

As your business grows, your data needs change.

Your databases might be bogged down with more data, or more complex data. In order to effectively manage and report on that data, you need a solution that's scalable. With the right data warehousing solution, you'll be able to scale—and finally keep up with your data needs.

Simplify Query and Reporting Processes

Your organization might depend on an existing front-end query tool to report on data. The right data warehousing solution works harmoniously with your query tool to make accessing and reporting on data both accurate and easy. You can even use the data warehousing solution to build department-specific data marts and further streamline reporting.

Plus, by putting a data warehouse in between your front-end query tool and your data, you remove the risk of other users making mistakes when they generate reports.

You never know when an auditor may come calling on your organization. But you can take precautionary measures to ensure that your data is always fully auditable.

The right data warehousing solution creates the documentation you need for the paper trail the auditors demand. As a result, you’ll always be able to show what data was moved and on what day.

Use Change Data Capture

Change data capture is a method for data integration using a data warehouse. This is a great tool for capturing and delivering changes made in your data sources to the data warehouse (and making sure you have one clear version of the truth).

Ensure Data Accuracy and Simplify Data Management

Sequel Data Warehouse, powered by RODIN, is the industry-leading tool for building and managing data warehouses and data marts on the IBM i platform.